Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2006 Oct 13;314(5797):268-74.
doi: 10.1126/science.1133427. Epub 2006 Sep 7.

The consensus coding sequences of human breast and colorectal cancers

Tobias Sjöblom  1 , Siân Jones, Laura D Wood, D Williams Parsons, Jimmy Lin, Thomas D Barber, Diana Mandelker, Rebecca J Leary, Janine Ptak, Natalie Silliman, Steve Szabo, Phillip Buckhaults, Christopher Farrell, Paul Meeh, Sanford D Markowitz, Joseph Willis, Dawn Dawson, James K V Willson, Adi F Gazdar, James Hartigan, Leo Wu, Changsheng Liu, Giovanni Parmigiani, Ben Ho Park, Kurtis E Bachman, Nickolas Papadopoulos, Bert Vogelstein, Kenneth W Kinzler, Victor E Velculescu
Affiliations

The consensus coding sequences of human breast and colorectal cancers

Tobias Sjöblom et al. Science. .

Abstract

The elucidation of the human genome sequence has made it possible to identify genetic alterations in cancers in unprecedented detail. To begin a systematic analysis of such alterations, we determined the sequence of well-annotated human protein-coding genes in two common tumor types. Analysis of 13,023 genes in 11 breast and 11 colorectal cancers revealed that individual tumors accumulate an average of approximately 90 mutant genes but that only a subset of these contribute to the neoplastic process. Using stringent criteria to delineate this subset, we identified 189 genes (average of 11 per tumor) that were mutated at significant frequency. The vast majority of these genes were not known to be genetically altered in tumors and are predicted to affect a wide range of cellular functions, including transcription, adhesion, and invasion. These data define the genetic landscape of two human cancer types, provide new targets for diagnostic and therapeutic intervention, and open fertile avenues for basic research in tumor biology.

PubMed Disclaimer

Comment in

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

Publication types